Open AccessMathematical Modeling and Numerical Methods of the Analysis of Neural Structures
Author(s) -
Leonid M. Makarov,
A. Pozdnyakov,
S. Yu. Protasenya,
Dmitriy Ivanov,
Viktor S. Lvov,
Сергей Геннадьевич Львов
Publication year - 2019
Publication title -
trudy učebnyh zavedenij svâzi
Language(s) - English
Resource type - Journals
eISSN - 2712-8830
pISSN - 1813-324X
DOI - 10.31854/1813-324x-2019-5-3-98-107
Subject(s) - a priori and a posteriori , computer science , artificial neural network , process (computing) , set (abstract data type) , artificial intelligence , cloud computing , service (business) , algorithm , machine learning , data science , theoretical computer science , philosophy , economy , epistemology , economics , programming language , operating system
In this article we can observe a mathematical model of the topological description of neural structure of human brain, which describes the results of numerical analysis process of a magnetic resonance tomography. The created model provides a possibility to organize a cloud computing environment, which achieves the synthesis of quantitative indicators of distinctions in analyzed fragments of neural tissue, it is created by means of the telecommunication service which is promoting the involvement of a large number of experts in to a research process, to create a set of a priori judgments of evolution of the registered processes.